Title :
Automatic enhancement of noisy images using objective evaluation of image quality
Author_Institution :
Dipt. di Elettrotecnica, Elettronica & Informatica, Univ. of Trieste, Italy
Abstract :
A new method for automatic enhancement of noisy images is presented. The most relevant feature of the proposed approach is a novel procedure for automatic parameter tuning that takes into account the histograms of the edge gradients. Thus a satisfactory compromise between smoothing and sharpening can be automatically found according to the human perception. The proposed method is favorably compared to other techniques in the literature.
Keywords :
edge detection; image denoising; image enhancement; nonlinear filters; smoothing methods; automatic image enhancement; automatic parameter tuning; image denoising; image edge analysis; nonlinear filters; objective image quality evaluation; parameter estimation; Histograms; Humans; Image edge detection; Image enhancement; Image quality; Instruments; Noise cancellation; Nonlinear filters; Parameter estimation; Smoothing methods; Gaussian noise; image edge analysis; image enhancement; nonlinear filters; parameter estimation;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2005.851084
